Abstract: A method, non-transitory computer readable medium, apparatus, and system for contextual content generation are described. An embodiment of the present disclosure includes obtaining, by a user experience platform, a content provider context for the user experience platform. The content provider context includes profile information for a content provider and an interaction history of the content provider. The user experience platform obtains a prompt based on the content provider context. Embodiments of the present disclosure further include generating content for a project within the user experience platform based on the prompt using a machine learning model.

Abstract: A method, non-transitory computer readable medium, apparatus, and system for data clustering are described. An embodiment of the present disclosure includes receiving, by a machine learning model, a prompt. The machine learning model generates a structured query for a database of users based on the prompt. A user experience platform generates a user segment of the users based on the structured query.

Abstract: A method, non-transitory computer readable medium, apparatus, and system for content generation are described. An embodiment of the present disclosure includes identifying, by a user experience platform, a content distribution campaign. The user experience platform obtains feedback for the content distribution campaign. Embodiments of the present disclosure further include generating content for a modified content distribution campaign based on the feedback using a machine learning model.

Abstract: A method, non-transitory computer readable medium, apparatus, and system for content distribution are described. An embodiment of the present disclosure includes receiving, by a machine learning model, a prompt. The machine learning model generates a campaign brief based on the prompt. The campaign brief includes an identification of a user segment, an identification of a communication channel, and a content element. The machine learning model is trained using training data including a plurality of campaign briefs. A user experience platform provides content corresponding to the content element to a user from the user segment via the communication channel based on the campaign brief.

Abstract: A method, non-transitory computer readable medium, apparatus, and system for content distribution are described. An embodiment of the present disclosure includes obtaining, by a user experience platform, a prompt describing an element of a content distribution campaign. A machine learning model generates a user journey based on the prompt. The user journey includes at least one touchpoint for the content distribution campaign. The user experience platform provides digital content to a user corresponding to the at least one touchpoint based on the user journey.

Abstract: A method, non-transitory computer readable medium, apparatus, and system for data processing are described. An embodiment of the present disclosure includes receiving, from a content provider via a user interface, a query about a chart that includes information related to a domain. A machine learning model generates a response to the query based on the chart and a corpus of documents in the domain. The response includes information from the corpus of documents. The user interface provides at least a portion of the response to the content provider.